Upload app.py

app.py

@@ -32,7 +32,10 @@ except:
 def perform_asde_inference(text, dataset, model_id):
     if not text:
         df = pd.read_csv('pyabsa_english.csv')
+        print(type(df))
+        print(df.head(2))
         random_i = np.random.randint(low=0, high=df.shape[0], size=(1,)).flat[0]
+        print(random_i)
         selected_df = df.iloc[random_i]
         text = selected_df['clean_text'].iloc[0]
         true_aspect = selected_df['actual_aspects'].iloc[0]